The USEPA has created and maintains a collection of open-source tools known as the Tools for Industrial Ecology Modeling (TIEM) that support modeling in industrial ecology and related disciplines. TIEM supports researchers and practitioners in identifying, acquiring, and processing facility or sector-level environmental and economic data and in developing models, such as life cycle inventory models, EEIO models, material flows analysis models, exposure and risk assessments and other IE relevant applications. TIEM is designed for users of Python and R languages that are interested in using U.S. environmental, economic or other activities data on industries in IE or related science and engineering applications. TIEM outputs are also available in tabular data formats outside of programming tools. TIEM is open-source and using TIEM can make research workflows more reproducible and help researchers save time in data acquisition and correctly synthesis data from various U.S. public sources. TIEM users benefit from the deep institutional knowledge of the federal data sources incorporated, the careful consideration that occurred related to acquisition and data treatment, the availability of complete time-series and complete sector and geographic coverage, along with the presence of full metadata and logs of validation checks, that went into TIEM development and/or persist in the TIEM code base and data products.

In this workshop, we will describe and demonstrate the many ways that users can generate, manipulate, and analyze USEEIO models for their research needs. Specifically we will explore applications of useeior and related tools including:

• Creating national or two-region EEIO models with custom indicators and inventories.
• Evaluating consumption based emissions inventories with USEEIO-State.
• Generating supply chain (scope 3) emission factors for specific years or indicators.

Attendees will be invited to explore ways that these tools can be used to access and acquire data for their own research needs, and will be invited to contribute to the open-source code base.

This workshop is the second of two workshops on TIEM; attendees do not need to participate in Part 1 to attend and benefit from this workshop.

Duration

Half-day, recommend to occur after workshop 1 proposed on this topic

Intended Audience

Some knowledge of R (or similar programming language is recommended). The workshop will be conducted in RStudio and Excel.

Disclaimer

The views expressed in this presentation are those of the authors and do not necessarily represent the views or policies of the U.S. Environmental Protection Agency or other institutions with which the authors are affiliated.